挤压肉干纤维取向度激光传播测量方法构建
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摘要
挤压肉干是传统肉干的升级品,纤维取向度是衡量其品质的重要指标之一。用数码相机采集挤压肉干样品激光传输反射图像,编制Matlab程序对图像进行定量分析,考察图像获取参数(曝光时间、光源入射角)、样品参数(取向方向、机筒温度)对肌纤维取向度分析结果的影响。结果表明:按样品取向方向,当相机曝光时间1/400 s、光源入射角度45°时,采集得到的图像分析B值能够稳定表征挤压猪肉干纤维取向度;初步探究表明挤压机机筒温度对挤压肉干的纤维取向度有影响,所建立的激光传播评价方法可以区分挤压肉干的纤维取向。
Extruded dried meat is an updated product for traditional meat jerky. Fiber orientation is an important indicator of the quality of extruded dried meat. In this study, we developed a nondestructive photon propagation-based method to quantify fiber orientation in extruded dried meat. Laser transmission reflection images of samples were recorded using a digital camera for quantitative analysis using self-compiled computer program with Matlab software. The effects of image acquisition parameters such as exposure time and light incident angle, and sample parameters including orientation direction and barrel temperature on the degree of fiber orientation were investigated. The results showed the optimal exposure time and light incident angle that provided an ideal B value for the degree of fiber orientation were determined as 1/400 s and 45°, respectively. Barrel temperature affected the degree of fiber orientation, and the established method could be used to identify fiber orientation in extruded meat.
Extruded dried meat is an updated product for traditional meat jerky. Fiber orientation is an important indicator of the quality of extruded dried meat. In this study, we developed a nondestructive photon propagation-based method to quantify fiber orientation in extruded dried meat. Laser transmission reflection images of samples were recorded using a digital camera for quantitative analysis using self-compiled computer program with Matlab software. The effects of image acquisition parameters such as exposure time and light incident angle, and sample parameters including orientation direction and barrel temperature on the degree of fiber orientation were investigated. The results showed the optimal exposure time and light incident angle that provided an ideal B value for the degree of fiber orientation were determined as 1/400 s and 45°, respectively. Barrel temperature affected the degree of fiber orientation, and the established method could be used to identify fiber orientation in extruded meat.
引文
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[23]王淑青,姚伟,陈进,等.基于直方图均衡化与形态学处理的边缘检测[J].计算机应用与软件,2016,33(3):193-196.
[24]WANG X,ZHANG X,GAO R.Research of image edge detection based on mathematical morphology[J].International Journal of Signal Processing Image Processing&Pattern Recognition,2013,6(5):227-236.DOI:10.14257/ijsip.2013.6.5.20.
[25]曹俊丽,李居峰.基于莱特准则的椭圆拟合优化算法[J].计算机应用,2017,37(1):273-277.
[26]邹益民,汪渤.一种基于最小二乘的不完整椭圆拟合算法[J].仪器仪表学报,2006,27(7):808-812.
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[29]陈若珠,孙岳.基于最小二乘法的椭圆拟合改进算法研究[J].工业仪表与自动化装置,2017(2):35-38;46.
[30]孙美秀,姜琛昱,龚智勇,等.有限宽光束在生物组织中光传输的改进算法[C]//天津:天津市生物医学工程学会学术年会,2014:63.
[31]蔡健荣,刘梦雷,孙力,等.基于改进惯性矩算法的冷鲜猪肉新鲜度激光散斑图像检测[J].农业工程学报,2017,33(7):268-274.
[2]李福泉,陈柯,杨文,等.自熟多功能单螺杆挤压重组牛肉的加工工艺研究[J].现代食品科技,2013,29(2):335-338;366.
[3]杨晓玲,邓力,董楠,等.重组牛肉干双螺杆挤压工艺研究[J].食品与机械,2013(4):107-111.DOI:10.3969/j.issn.1003-5788.2013.04.027.
[4]杨涛.北太鱿鱼碎肉蛋白质挤压组织化关键技术研究[D].舟山:浙江海洋大学,2010:10-11.
[5]王帅,刘俊荣,傅润泽,等.挤压蒸煮操作参数对鱼蛋白高水分模拟产物组织化效果的影响[J].水产学报,2012,36(11):1776-1784.DOI:10.3724/SP.J.1231.2012.27838.
[6]YAO G,LIU K S,HSIEH F.A new method for characterizing fiber formation in meat analogs during high-moisture extrusion[J].Journal of Food Science,2004,69(7):303-307.DOI:10.1111/j.1365-2621.2004.tb13634.x.
[7]陈锋亮,魏益民,姚刚,等.高水分挤压组织化蛋白纤维取向度光学评价方法研究[J].中国粮油学报,2014,29(1):66-71.
[8]来建成,李振华,贺安之.生物组织光传输理论概论[J].激光生物学报,2004,13(3):167-172.DOI:10.3969/j.issn.1007-7146.2004.03.003.
[9]彭彦昆,张雷蕾.光谱技术在生鲜肉品质安全快速检测的研究进展[J].食品安全质量检测学报,2010,27(2):62-72.
[10]田潇瑜.基于光谱与图像分析的生鲜牛肉嫩度快速检测技术研究[D].北京:中国农业大学,2014:13-20.
[11]RANASINGHESAGARA J,YAO G.Characterizing fiber formation in meat analogs using an anisotropic photon migration model[J].Zpravodaj Vzlu,2006,6381(5):67-71.DOI:10.1117/12.684747.
[12]来建成.生物组织的光学描述与光传输规律研究[D].南京:南京理工大学,2005:9;29-37;69-72.DOI:10.7666/d.y1001828.
[13]陈钰清,王静环.激光原理[M].杭州:浙江大学出版社,1992:48-52.
[14]张志勇,左月明,陈晋明,等.三维漫射光谱法检测猪肉嫩度的初步研究[J].光谱学与光谱分析,2015,35(6):1660-1663.
[15]石舒宁.水果组织的光学描述与光传输规律研究[D].武汉:华中农业大学,2016:2-6.
[16]RANASINGHESAGARA J,HSIEH F H,HUFF H,et al.Laser scanning system for real-time mapping of fiber formations in meat analogues[J].Journal of Food Science,2009,74(2):E39-E45.DOI:10.1111/j.1750-3841.2008.01032.x.
[17]RANASINGHESAGARA J,HSIEH F H,YAO G.An image processing method for quantifying fiber formation in meat analogs under high moisture extrusion[J].Journal of Food Science,2005,70(8):e450-e454.DOI:10.1111/j.1365-2621.2005.tb11513.x.
[18]ALERSTAM E.Anisotropic diffusive transport:connecting microscopic scattering and macroscopic transport properties[J].Physical Review E Statistical Nonlinear&Soft Matter Physics,2014,89(6):63202.DOI:10.1103/PhysRevE.89.063202.
[19]RANASINGHESAGARA J,NATH T M,WELLS S J,et al.Imaging optical diffuse reflectance in beef muscles for tenderness prediction[J].Meat Science,2010,84(3):413-421.DOI:10.1016/j.meatsci.2009.09.010.
[20]SVIRIDOV A,CHERNOMORDIK V,HASSAN M,et al.Intensity profiles of linearly polarized light backscattered from skin and tissuelike phantoms[J].Journal of Biomedical Optics,2005,10(1):14012.DOI:10.1117/1.1854677.
[21]姒绍辉,胡伏原,顾亚军,等.一种基于不规则区域的高斯滤波去噪算法[J].计算机科学,2014,41(11):313-316.
[22]JALOBEANU A,BLANC-FERAUD L,ZERUBIA J.An adaptive Gaussian model for satellite image deblurring[J].IEEE Transactions on Image Processing,2004,13(4):613-621.DOI:10.1109/TIP.2003.819969.
[23]王淑青,姚伟,陈进,等.基于直方图均衡化与形态学处理的边缘检测[J].计算机应用与软件,2016,33(3):193-196.
[24]WANG X,ZHANG X,GAO R.Research of image edge detection based on mathematical morphology[J].International Journal of Signal Processing Image Processing&Pattern Recognition,2013,6(5):227-236.DOI:10.14257/ijsip.2013.6.5.20.
[25]曹俊丽,李居峰.基于莱特准则的椭圆拟合优化算法[J].计算机应用,2017,37(1):273-277.
[26]邹益民,汪渤.一种基于最小二乘的不完整椭圆拟合算法[J].仪器仪表学报,2006,27(7):808-812.
[27]KANATANI K,SUGAYA Y,KANAZAWA Y.Ellipse fitting for computer vision:implementation and applications[M].Williston:Morgan&Claypool Publishers,2016:1-141.DOI:10.2200/S00713ED1V01Y201603COV008.
[28]ABDELSALAM D G,STANISLAS M,COUDERT S.Subpixel characterization of a PIV-CCD camera using a laser spot[J].Measurement Science and Technology,2014,25(8):84006.DOI:10.1088/0957-0233/25/8/084006.
[29]陈若珠,孙岳.基于最小二乘法的椭圆拟合改进算法研究[J].工业仪表与自动化装置,2017(2):35-38;46.
[30]孙美秀,姜琛昱,龚智勇,等.有限宽光束在生物组织中光传输的改进算法[C]//天津:天津市生物医学工程学会学术年会,2014:63.
[31]蔡健荣,刘梦雷,孙力,等.基于改进惯性矩算法的冷鲜猪肉新鲜度激光散斑图像检测[J].农业工程学报,2017,33(7):268-274.